基于划区域宇宙算法的红外与可见光图像融合研究
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黄淮学院

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河南省科技发展计划项目(212102210515)


Infrared and visible image fusion based on Divide Region Universe Algorithm
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黄淮学院

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    摘要:

    为了克服红外与可见光图像融合过程中目标物体边缘处产生虚影的问题,提出划区域宇宙算法。首先建立宇宙空间模型,核心区域的宇宙可进行双向交流,非核心区域的宇宙只能进行单向交流;接着连接核心区域与非核心区域的连接宇宙能够使得核心区域与非核心区域形成邻居关系;然后红外与可见光图像分别获得细节图层、基础图层、显著图层,不同层使用不同融合策略;最后给出了宇宙优化融合的流程。实验仿真表明,本文算法融合图像结果具有较多的热目标、场景信息,视觉效果符合人眼的视觉特征,MI、SD、SF、AG指标相比其他算法提升平均值分别为17.57%、14.80%、34.16%、21.01%,优于其他算法。

    Abstract:

    In order to overcome the problem of virtual shadow at the edge of the target object in the process of infrared and visible image fusion, divide region universe algorithm is proposed. Firstly, the space model of the universe was established, universe in the core region was used two-way communication, while the universe in the non core region was used one-way communication only.Secondly, the connected universe was formed neighborhood relationship between the core region and the non core region. Thirdly, the detail layer, basic layer and salient layer were obtained from infrared and visible image respectively, and different fusion strategies were used for different layers.Finally, the fusion process of universe optimization was given. The experimental simulation shows that the fusion image result of divide region universe algorithm has more hot target and scene information, and the visual effect conforms to the characteristics of the human eye, average value of MI, SD, SF and AG is increased by 17.57%, 14.80%, 34.16% and 21.01% compared with other algorithms,it is better than other algorithms.

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  • 收稿日期:2023-04-06
  • 最后修改日期:2023-07-08
  • 录用日期:2023-07-23
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